‘Hacky Hour’ for researchers

A close-up of wires on the high performance computer

Are you a researcher at the University of Adelaide? Have you got a curly question relating to research and IT? Come to Hacky Hour!

Hacky hour is an informal meet-up for researchers to bring their questions and discuss technology-related issues, with experts on hand to advise on problems related to coding, data analytics, and digital tools. 

A collaboration across DRI, ITDS and the University Library, the next session, on High Performance Computing, will be held on August 25 at 3pm. Register.

Held on the second and fourth Tuesday of each month, at 3 pm, Hacky Hour provides an opportunity for researchers to discuss technology-related problems they may be facing in their research with each other.

Experts will also be on hand to advise on problems related to coding, data analytics, or digital tools. If you have a problem in one of those areas: bring it along and get help.

Even if you don’t have any problems you want solved, come along to help solve someone else’s!

Researchers from all areas are welcome. The next Hacky Hour will be held by Zoom: register here. The topic will be High Performance Computing (with the HPC team from ITDS). Once you register, you will receive the Zoom meeting link.

What will we talk about?... anything, really!

Here are some things that you can get help with:

  • Support with programs such as Git, Excel, R, Matlab, Python and Unix
  • Finding out the best way to store, visualise or organise your data
  • Working with large datasets that your local computer doesn’t have the power to process
  • Getting some more help after attending an Intersect training course
  • If you've heard about research data management plans and want to know more
  • If you need help with your HPC scripts

Each hacky hour session will have a theme, with relevant experts to help you with that specific area. Find out more

If you have any questions, n case of questions, please contact: marium.khan@adelaide.edu.au

Tagged in research, data, HPC, coding, data anlaytics